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Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
Quantpedia
86 documents
TqSdk
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Quantopian lectures
45 documents
Binance API docs
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

22,592 documents

SuperMind

This Chinese stock-selection note proposes screening for shares with price movement above a stated amplitude threshold, a high control indicator, and rising lows intended to signal a potential bottom reversal. Its refined version adds volume above the…

China marketsEquitiesTechnical indicatorsMean reversion
BigQuant

This research summary describes a method for studying whether public information-seeking behavior can reveal topics associated with subsequent stock market moves. The cited 2014 study analyzes historical data from 2004 through 2012, drawing on Google and…

EquitiesSentimentStatisticsMachine learning
SuperMind

This Chinese-language post describes an equity screening idea that combines a turnover range of 3% to 12%, three consecutive down sessions, and a shortening negative MACD histogram on a 15-minute timeframe. The intended signal is that selling momentum may be…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This proposed Chinese stock screen combines three conditions: price amplitude above 1%, institutional participation above 25% over 15 days, and best bid volume greater than best ask volume. The document interprets these as elevated price movement,…

EquitiesMarket microstructureTechnical indicatorsChina markets
SuperMind

This A-share selection method combines moderate trading activity and company size with a profitability filter. It selects companies with a turnover rate from 3% to 12%, market value below 10 billion yuan, no losses, and return on equity above 15% in each of…

EquitiesFactor investingChina marketsRisk management
SuperMind

This proposed A-share screen looks for stocks with price amplitude above 1%, prior-day turnover value above 60 million, and three consecutive limit-up sessions as of the previous day. The rationale is that large price swings and substantial trading activity…

EquitiesMomentumBreakoutChina markets
SuperMind

This stock-selection post proposes screening for shares with an amplitude above 1, an upward-diverging short-term moving-average condition, and a daily return between -5% and 2.6%. The rationale is that a large range reflects activity, rising averages…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This note describes three technical indicators for low-frequency analysis. The BBI is the average of simple moving averages over 3, 6, 12, and 24 days. A second measure, labeled DMI moving-average difference, takes the 10-day moving average minus the 50-day…

Technical indicatorsStatisticsEquities
SuperMind

This Chinese stock-selection rule combines a daily range filter with company size, profitability, and share-float criteria. It starts with stocks whose intraday high-low range exceeds 1% of the prior close, market value is at most 10 billion yuan, net profit…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This post presents a Chinese equity selection rule for metaverse-related stocks. It specifies a volume ratio above 1.5 and below 6, along with more than two limit-up days during the prior ten days. The final proposed screen also restricts market…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The post describes a Chinese equity screen for companies associated with the metaverse theme. It selects stocks with a volume ratio between 1.5 and 6 and more than two limit-up days within ten days; its final version also adds a market-cap ceiling below 5…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-language post describes a stock screen combining three conditions: membership in the metaverse industry, positive institutional flow, and an opening price near the 10-day moving average. Its example formula defines “near” as an opening price…

EquitiesTechnical indicatorsChina marketsRisk management
BigQuant

The document outlines a forecast of constituent changes for four major mainland Chinese equity indices: the CSI 300, CSI 100, SSE 180, and SSE 50. Its central idea is that periodic index reconstitutions create potential trading opportunities because…

China marketsEquitiesEvent-drivenPortfolio construction
SuperMind

The document describes a Chinese equity screening rule combining price movement, trading activity, and liquidity. It selects stocks with daily amplitude above 1, a product of the previous day's turnover rate and the ratio of today's opening auction volume to…

China marketsEquitiesTechnical indicatorsStatistics
MQL5 code base

This document describes a higher-timeframe version of an RSI Histogram oscillator. A user can choose the indicator’s calculation or display period through an input setting, with a four-hour period shown as the default. The indicator depends on a separate RSI…

Technical indicatorsEquities
SuperMind

This stock screen selects companies that listed in 2021, have turnover between 3% and 12%, and meet a chosen company-type category, such as state-owned, private, or high-tech. The accompanying Python example filters listing-year and turnover-related fields,…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The proposed stock screen focuses on Chinese listed companies in the metaverse industry. It ranks candidates by the current day’s auction amount, keeps the top five, and requires a signal interpreted as institutional buying. The article gives corresponding…

EquitiesChina marketsEvent-drivenBacktesting
BigQuant

This research summary contrasts how high- and low-frequency strategies should be evaluated. Frequent strategies make many short-horizon decisions, so win rate and operational capacity matter; low-frequency strategies hold positions longer, tolerate…

EquitiesTrend followingStatisticsRisk management
SuperMind

This Chinese stock screen selects shares with turnover between 3% and 12%, a prior-day appearance on the market’s top-trader list, and a price below 12 yuan. Its final description adds a requirement that a company has been listed for more than a year.…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

The document describes a Chinese equity selection rule combining three conditions: turnover between 3% and 12%, seven consecutive sessions of falling closing prices, and positive net buying by major participants in the opening auction. It includes example…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

The document describes an equity screen requiring daily price amplitude above 1%, turnover above 2% and at most 9%, and company scale of at least 200 million yuan. It frames these filters as a way to select stocks with meaningful price movement and trading…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The document presents an equity screening rule that selects stocks with MACD above zero, upward-spreading moving averages, and a concentration measure greater than 70%. It describes the MACD condition as a sign of an upward market state and the…

EquitiesTechnical indicatorsMomentumRisk management